Gaussian Processes

Gaussian process modulated renewal processes NeurIPS 2011 Gaussian Process Training with Input Noise NeurIPS 2011 Nonlinear Inverse Reinforcement Learning with Gaussian Processes NeurIPS 2011 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011 Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations NeurIPS 2011 Robust Multi-Class Gaussian Process Classification NeurIPS 2011 Variational Gaussian Process Dynamical Systems NeurIPS 2011 Active Instance Sampling via Matrix Partition NeurIPS 2010 Approximate parameter inference in a stochastic reaction-diffusion model AISTATS 2010 Bayesian Gaussian Process Latent Variable Model AISTATS 2010 Brain covariance selection: better individual functional connectivity models using population prior NeurIPS 2010 Copula Processes NeurIPS 2010 Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010 Evaluation of Rarity of Fingerprints in Forensics NeurIPS 2010 Exact learning curves for Gaussian process regression on large random graphs NeurIPS 2010 Gaussian processes with monotonicity information AISTATS 2010 Gaussian Process Preference Elicitation NeurIPS 2010 Heavy-Tailed Process Priors for Selective Shrinkage NeurIPS 2010 Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation NeurIPS 2010 Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NeurIPS 2010 Learning via Gaussian Herding NeurIPS 2010 Multi-Task Learning using Generalized t Process AISTATS 2010 Slice sampling covariance hyperparameters of latent Gaussian models NeurIPS 2010 State-Space Inference and Learning with Gaussian Processes AISTATS 2010 Switched Latent Force Models for Movement Segmentation NeurIPS 2010